Building Supercharger: How Rocket Close optimized title operations with agentic AI
Rocket Close built Supercharger, an agentic AI solution on AWS, to automate title examination operations.
“By centralizing knowledge and automating research-heavy tasks, the solution generates actionable insights about orders, improves efficiency, and reduces the time spent searching for information.”
Rocket Close partnered with AWS to build Supercharger, an agentic AI system using Strands Agents, Amazon Bedrock, Knowledge Bases, and MCP tools to automate research-heavy title examination workflows. It centralizes fragmented title and closing knowledge, guiding operations teams through order processing via natural language. The case study illustrates enterprise adoption of agentic AI patterns built on Claude via Bedrock, though it is a vendor-authored implementation story rather than a broad industry signal.